Lucent Technologies Inc.

At&t Bell Laboratories

Bruce F Naylor

Riccardo Leonardi

Eric D Petajan

Hayder Sadiq Radha

Farid Feisullin

Hayder S Radha

Lois Rogers

Ajay Raukumar

A method for simulating RF energy distribution comprises obtaining a binary tree representation of a geometric environment in three-dimensions and forming a 3-D geometric database model therefrom, obtaining one or more specified receive locations within the 3-D geometric database model where RF energy distribution is desirable, simulating the propagation of an RF signal within the geometric database model, the RF signal being represented as a beam having magnitude and direction, the propagation including querying the database model to trace the beam in the geometric environment; and, determining one or more intersections of the traced beam with one or more receive locations to determine RF energy distribution at the receive locations.

Prediction system for RF power distribution

In a hybrid system for synthesizing a compressed video bitstream from a dynamic 3-D model, the video bitstream represents an image sequence comprised of a plurality of image frames which are sequential in time and in which each image frame is partitioned into a set of regions. Motion vectors are generated for each region within a current image frame which represent the dynamic 3-D model. A prediction error is computed for each region based on the generated motion vectors. The type of encoding to be performed on each region in a succeeding image frame is determined based on the value of the prediction error. Each region in the succeeding image frame is encoded as indicated by the determined encoding type.

System and method of generating compressed video graphics images

An image, having N dimensions, is partitioned into a set of bounded arbitrarily shaped regions. This partitioning is achieved through the use of arbitrarily shaped N-1 dimensional surfaces which pass through the boundaries of the image. The arbitrarily shaped regions are represented in the leaf nodes of a binary tree and the arbitrarily shaped surfaces, which are used to partition the image, are represented in the non-leaf nodes of the tree. In a preferred embodiment, arbitrarily oriented lines passing through the image boundaries are employed to partition a two-dimensional image into a set of convex regions. The convex regions are represented in the leaf nodes of a binary tree and the arbitrarily oriented lines, which are used to partition the image, are represented in the non-leaf nodes of the tree. Furthermore, the arbitrarily oriented lines are selected through the use of a Hough transform and the image is partitioned, along the selected lines, in a recursive manner as the binary tree is developed.

Image representation using tree-like structures

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Summit, NJ, United States of America

Bruce F Naylor